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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 11–20 of 56 papers

TitleStatusHype
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem—0
Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model DevelopmentCode0
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across LanguagesCode0
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical StudyCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora—0
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation—0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum—0
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